The HCUP Summary Trend Tables include monthly information on hospital utilization derived from the HCUP State Inpatient Databases (SID) and HCUP State Emergency Department Databases (SEDD). Information on emergency department (ED) utilization is dependent on availability of HCUP data; not all HCUP Partners participate in the SEDD. The HCUP Summary Trend Tables include downloadable Microsoft® Excel tables with information on the following topics: Overview of monthly trends in inpatient and emergency department utilization All inpatient encounter types Inpatient stays by priority conditions -COVID-19 -Influenza -Other acute or viral respiratory infection Inpatient encounter type -Normal newborns -Deliveries -Non-elective inpatient stays, admitted through the ED -Non-elective inpatient stays, not admitted through the ED -Elective inpatient stays Inpatient service line -Maternal and neonatal conditions -Mental health and substance use disorders -Injuries -Surgeries -Other medical conditions Emergency department treat-and-release visits Emergency department treat-and-release visits by priority conditions -COVID-19 -Influenza -Other acute or viral respiratory infection Description of the data source, methodology, and clinical criteria

For 2023, the health costs (combined medical and pharmacy benefit expenses) of U.S. employers for employees after plan and contribution changes are forecasted to increase by 6 percent. This survey represents US company's health care cost trends from 1999 to 2023.

The dataset contains estimates for the number of healthcare professionals in 15 different healthcare categories (e.g., Registered Nurse, Dentist, License Clinical Social Worker, etc.) based on completion of license renewal by Race/Ethnicity. There are two timeframes: all current licenses and recent licenses (since 2017). California population estimates are also included to provide a marker for each Race/Ethnicity. Each healthcare professional category can be compared across Race/Ethnicity groups and compared to statewide population estimates, so Race/Ethnicity shortages can be identified for each healthcare professional category. For instance, a notable difference between healthcare professional category and statewide population would indicate either underrepresentation or overrepresentation for that Race/Ethnicity, depending on the direction of the difference.

Health, United States is the report on the health status of the country. Every year, the report presents an overview of national health trends organized around four subject areas: health status and determinants, utilization of health resources, health care resources, and health care expenditures and payers.

Health, United States is an annual report on trends in health statistics. The report consists of two main sections: A chartbook containing text and figures that illustrates major trends in the health of Americans and a trend tables section that contains 156 detailed data tables. The two main components are supplemented by an executive summary, a highlights section, an extensive appendix and reference section, and an index.Note to Users: This CD is part of a collection located in the Da ta Archive of the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill. The collection is located in Room 10, Manning Hall. Users may check the CDs out subscribing to the honor system. Items can be checked out for a period of two weeks. Loan forms are located adjacent to the collection.

Big Data Analytics In Healthcare Market size is estimated at USD 37.22 Billion in 2024 and is projected to reach USD 74.82 Billion by 2032, growing at a CAGR of 9.12% from 2026 to 2032.

Big Data Analytics In Healthcare Market: Definition/ Overview

Big Data Analytics in Healthcare, often referred to as health analytics, is the process of collecting, analyzing, and interpreting large volumes of complex health-related data to derive meaningful insights that can enhance healthcare delivery and decision-making. This field encompasses various data types, including electronic health records (EHRs), genomic data, and real-time patient information, allowing healthcare providers to identify patterns, predict outcomes, and improve patient care.

Global Wireless Health Market The global wireless health market is expected to reach USD XX million by 2033, expanding at a CAGR of XX% during the forecast period from 2025 to 2033. Key drivers of this growth include the rising prevalence of chronic diseases, increasing adoption of remote patient monitoring, and advancements in mobile health technologies. The segment is segmented by application into telemedicine, remote patient monitoring, and fitness tracking, and by type into wearable devices, mobile health applications, and connected medical devices. Major companies operating in the wireless health market include IBM, Allscripts, Cerner Corporation, Omron Corporation, Koninklijke Philips N.V., Epic Systems Corporation, Evolent Health, Inc., AT&T, Qualcomm Technologies, Inc., and Vocera Communications. These companies are focusing on developing innovative wireless health solutions, such as wearable heart rate and activity monitors, blood pressure monitoring devices, and smart home health systems. The market is expected to witness significant growth in the Asia Pacific region, driven by increasing healthcare spending, the presence of a large aging population, and government initiatives to improve healthcare access.

Digital Health Market Outlook

The global digital health market size is anticipated to reach approximately USD 1.5 trillion by 2032, growing from USD 250 billion in 2023, with a remarkable compound annual growth rate (CAGR) of 22.4% during the forecast period. The significant growth of this market is largely driven by the increasing adoption of advanced technologies in healthcare, the growing need for remote patient monitoring and management, and the continuous evolution of telemedicine solutions. Factors such as the rising prevalence of chronic diseases, increasing healthcare expenditure, and the demand for more efficient healthcare services are also contributing significantly to the market's expansion.

One of the primary growth factors for the digital health market is the rapid advancements in mobile health (mHealth) technologies. With smartphones and mobile devices becoming ubiquitous, healthcare providers and patients are increasingly relying on mobile applications to manage health conditions, monitor vital signs, and communicate with healthcare professionals. This increased usage of mHealth solutions is not only improving patient engagement and satisfaction but also enabling healthcare systems to operate more efficiently. Furthermore, the integration of artificial intelligence (AI) and machine learning algorithms in mHealth applications is enhancing the ability to predict health issues, customize treatment plans, and improve overall patient outcomes.

Another critical driver is the widespread adoption of telehealth services, which has been further accelerated by the COVID-19 pandemic. Telehealth offers a convenient and cost-effective alternative to traditional healthcare services, allowing patients to receive medical consultations and care remotely. This not only reduces the burden on healthcare facilities but also ensures continuity of care for patients, particularly those living in remote or underserved areas. Governments and healthcare organizations worldwide have recognized the value of telehealth and are actively investing in its development and implementation, thereby fueling the growth of the digital health market.

The increasing focus on health analytics is also playing a vital role in the market's expansion. By leveraging big data and analytics, healthcare providers can gain valuable insights into patient health trends, optimize resource allocation, and improve decision-making processes. Health analytics solutions are empowering healthcare organizations to transition from a reactive to a proactive approach in patient care, resulting in better health outcomes and reduced costs. As the volume of healthcare data continues to grow, the demand for sophisticated analytics solutions is expected to rise, further driving the market growth.

Regionally, the digital health market is experiencing significant growth across all major regions, with North America leading the charge. The region's established healthcare infrastructure, coupled with the presence of key market players and high healthcare IT spending, is contributing to its dominance. Meanwhile, the Asia Pacific region is also witnessing rapid growth, driven by increasing internet penetration, government initiatives to promote digital health, and a burgeoning middle-class population with growing healthcare needs. Europe is following closely, benefiting from strong government support and a high level of digital literacy among its population.

Digital Healthcare Software plays a pivotal role in the transformation of the healthcare industry by providing innovative solutions that enhance patient care and streamline healthcare operations. These software solutions encompass a wide range of applications, including electronic health records (EHRs), telemedicine platforms, and health analytics tools, which are crucial in enabling healthcare providers to deliver efficient and effective care. The integration of Digital Healthcare Software is particularly driven by the increasing demand for cloud-based solutions, which offer scalability, cost-effectiveness, and easy integration with existing healthcare systems. As the healthcare landscape continues to evolve, the role of Digital Healthcare Software in facilitating seamless data exchange and improving patient outcomes becomes increasingly significant.

Technology Analysis

Digital health technologies encompass a wide range of solutions, with telehealth, mHealth, health analytics, and digital health systems being the key segments. Tel

AI in Mental Health Market Outlook

As per our latest research, the AI in Mental Health market size reached USD 2.3 billion globally in 2024, and is expected to grow at a robust CAGR of 32.7% from 2025 to 2033, reaching an estimated market value of USD 28.1 billion by the end of the forecast period. This remarkable growth trajectory is primarily driven by the increasing adoption of artificial intelligence technologies in mental health applications, the rising global prevalence of mental health disorders, and the urgent need for scalable, cost-effective, and personalized mental healthcare solutions.

The rapid expansion of the AI in Mental Health market is fundamentally underpinned by the growing awareness and destigmatization of mental health issues, which has led to increased demand for accessible and effective mental healthcare services. The integration of advanced AI technologies, such as machine learning, natural language processing, and computer vision, into mental health platforms and solutions is enabling early detection, continuous monitoring, and personalized intervention strategies. These advancements are significantly improving diagnostic accuracy, treatment outcomes, and patient engagement, thereby fueling market growth. Furthermore, the proliferation of digital health platforms and telemedicine services has made mental health support more accessible, particularly in remote and underserved regions, amplifying the market's expansion.

Another critical growth factor for the AI in Mental Health market is the substantial investment from both public and private sectors in digital health innovation and AI research. Governments and healthcare organizations worldwide are prioritizing mental health as a key component of overall well-being, leading to increased funding for AI-driven research and development initiatives. This has resulted in the emergence of a diverse ecosystem of AI-powered mental health solutions, ranging from chatbots and virtual therapists to predictive analytics platforms and wearable devices. These innovations are not only enhancing the efficiency and effectiveness of mental health services but are also reducing the burden on traditional healthcare systems by enabling early intervention and self-management of mental health conditions.

The evolving regulatory landscape and the increasing focus on data privacy and security are also shaping the growth dynamics of the AI in Mental Health market. Regulatory bodies in major markets such as North America and Europe are establishing guidelines and standards for the ethical use of AI in healthcare, which is fostering trust and encouraging wider adoption of AI-powered mental health solutions. Additionally, the integration of AI with electronic health records (EHRs) and other healthcare IT systems is streamlining care delivery and facilitating seamless communication between patients and providers. These factors, combined with the growing adoption of cloud-based deployment models and the increasing availability of high-quality mental health data, are expected to sustain the market's robust growth trajectory over the forecast period.

From a regional perspective, North America continues to lead the AI in Mental Health market in terms of adoption and innovation, driven by strong healthcare infrastructure, high digital literacy, and significant investments in AI research. Europe is also witnessing substantial growth, supported by favorable government initiatives and a growing emphasis on mental health awareness. The Asia Pacific region is emerging as a high-growth market, propelled by the rising prevalence of mental health disorders, increasing healthcare expenditure, and rapid digital transformation in countries such as China, India, and Japan. Latin America and the Middle East & Africa are gradually catching up, with growing investments in healthcare technology and increasing awareness of mental health issues contributing to market expansion in these regions.

Component Analysis

The AI in Mental Health market is segmented by component into s

Healthcare Big Data Analytics Market Outlook

The global healthcare big data analytics market size is projected to achieve a robust growth trajectory, with a valuation of approximately USD 32 billion in 2023. It is anticipated to soar to around USD 115 billion by 2032, reflecting an impressive compound annual growth rate (CAGR) of 15.4%. This remarkable growth can largely be attributed to the increasing demand for efficient data management systems in the healthcare sector, the rising need for data-driven decision-making, and the expanding adoption of analytics in diverse healthcare applications. The integration of artificial intelligence and machine learning in analytics, the emphasis on personalized medicine, and the growing importance of predictive analytics are further propelling the market forward.

One of the key growth drivers in the healthcare big data analytics market is the rising necessity for cost reduction and improved operational efficiency within the healthcare sector. Hospitals and clinics are increasingly recognizing the value of analytics in streamlining processes, reducing waste, and enhancing patient care. By leveraging big data analytics, healthcare providers can gain insights into patient care patterns, optimize resource allocation, and minimize unnecessary expenditures. This drive towards efficiency is further bolstered by government initiatives and policies aimed at improving healthcare delivery and reducing costs, creating a fertile ground for the adoption of advanced analytics solutions.

Another significant factor contributing to the market's expansion is the growing emphasis on personalized and precision medicine. As healthcare providers aim to offer more tailored treatment options, the analysis of vast datasets becomes crucial. Big data analytics facilitates the identification of patterns and trends in patient data, enabling healthcare providers to make informed decisions regarding personalized treatment plans. Moreover, the continuous advancements in genomics and biotechnology are generating immense volumes of data, necessitating robust analytics solutions to derive actionable insights. This trend towards personalized care is expected to drive substantial investments in big data analytics technologies in the coming years.

Additionally, the increasing prevalence of chronic diseases and the aging global population are driving the demand for effective population health management. Big data analytics plays a pivotal role in analyzing population health trends, identifying at-risk individuals, and devising preventive strategies. Governments and healthcare organizations are increasingly focusing on population health analytics to enhance public health outcomes and reduce the burden on healthcare infrastructure. This growing demand for comprehensive population health management solutions is expected to be a significant driving force for the healthcare big data analytics market over the forecast period.

Healthcare Analytics & Medical Analytics are becoming increasingly vital in the pursuit of personalized and precision medicine. By leveraging these analytics, healthcare providers can delve deeper into patient data to uncover insights that inform individualized treatment plans. This approach not only enhances patient outcomes but also optimizes the use of healthcare resources. As the demand for personalized care continues to rise, the role of healthcare analytics in tailoring treatments to individual patient needs is expected to grow exponentially. The integration of advanced analytics tools into healthcare systems is facilitating a shift towards more patient-centric care models, thereby driving the adoption of these technologies across the sector.

The regional outlook for the healthcare big data analytics market shows a diverse growth pattern across different geographies. North America currently holds a significant share of the market, driven by the presence of advanced healthcare infrastructure, a high level of digitalization, and a strong focus on research and development. Europe is also witnessing considerable growth, with countries like Germany and the United Kingdom leading the charge in the adoption of analytics solutions. Meanwhile, the Asia Pacific region is poised to experience the fastest growth, fueled by rapid technological advancements, increasing healthcare investments, and the need to address healthcare challenges in densely populated regions. Latin America and the Middle East & Africa are expected to show steady growth, driven by improving healthcare infrastruct

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Healthcare Analytics Market Size 2025-2029

The healthcare analytics market size is forecast to increase by USD 81.28 billion, at a CAGR of 25% between 2024 and 2029.

The market is experiencing significant growth due to several key trends. The integration of big data with healthcare analytics is a major growth factor, enabling healthcare providers to make data-driven decisions and improve patient outcomes.
Another trend is the increasing use of Internet-enabled mobile devices in healthcare services, allowing for remote monitoring and real-time data access. However, data security and privacy concerns remain a challenge, with the need for strong security measures to protect sensitive patient information. These trends are shaping the future of patient engagement and driving growth in the global healthcare analytics market as well.

What will be the Size of the Healthcare Analytics Market During the Forecast Period?

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The market is experiencing significant growth due to the increasing adoption of digital solutions for improving patient care and reducing treatment costs. Healthcare organizations are leveraging descriptive analytics to gain insights from clinical data, while predictive and prescriptive analytics enable the development of personalized treatment plans and optimal therapeutic strategies. Financial analytics help manage healthcare expenses, ensuring cost-effective patient care. The National Institutes of Health (NIH) and other research institutions are driving innovation in health data analytics, leading to advancements in areas such as patient compliance, medication selection, and disease management. Industry leaders are utilizing artificial intelligence and machine learning to enhance clinical care, outreach, and disease management, ultimately leading to better treatment consistency and optimal outcomes for patients.

How is this Healthcare Analytics Industry segmented and which is the largest segment?

The healthcare analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Services
  Software
  Hardware


Deployment

  On-premise
  Cloud-based


Type

  Descriptive Analysis
  Predictive Analysis
  Prescriptive and Diagnostics


Application

  Financial Analytics
  Clinical Analytics
  Operations and Administrative Analytics
  Population Health Analytics


End-User

  Insurance Company
  Government Agencies
  Healthcare Providers
  Pharmaceutical and Medical Device Companies


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  South America



  Middle East and Africa

By Component Insights

The services segment is estimated to witness significant growth during the forecast period. Healthcare analytics services encompass consulting, learning and training, development and integration, hardware maintenance and support, IT management, process management, and software support. The consulting and software support segments are experiencing significant growth due to the increasing demand for advanced healthcare delivery systems and cost-effective models. The healthcare sector's ongoing transition from on-premises to cloud-based software and IT infrastructure deployment is another growth driver. This shift is expected to increase the demand for IT education and training services. End-users of these services range from individual doctor offices to full-service hospitals and multi-location clinics, including large hospitals and tissue and blood processing organizations.

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The services segment was valued at USD 6.7 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 36% to the growth of the global market during the forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The North American market is driven by the increasing demand for secure data access and effective patient information management. The US and Canada are the primary contributors to this market due to their early adoption of advanced technologies, such as machine learning, predictive analytics, and quantum computing, across various industries. These technologies enable the healthcare sector to optimize patient compliance, medication selection, and therapeutic strategies and, ultimately, achieve optimal outcomes. Major companies in this market provide solutions to help healthcare organizations manage and

US Health Check-Up Market is projected to grow around USD 42.3 billion by 2031, at a CAGR of 11.5% during the forecast period.

The Big Data in Healthcare Market Report is Segmented by Component (Software, Services), Deployment (On-Premise, Cloud), Analytics Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), Application (Financial Analytics, and More), End User (Healthcare Providers, and More), and Geography (North America, Europe, Asia-Pacific, and More). The Market Forecasts are Provided in Terms of Value (USD).

The Smart Healthcare Products Market Report is Segmented by Product Type (Telemedicine, Electronic Health Records, Mhealth Solutions, Smart Pills, Smart Syringes, Smart RFID Cabinets, and More), Application (Storage and Inventory Management, Remote Monitoring, and More), End User (Hospitals, Home Care Settings, and More), and Geography (North America, Europe, and More). The Market Forecasts are Provided in Terms of Value (USD).

Introduction

Mental Health Statistics: Mental health refers to the emotional and psychological aspects of social health and well-being. The World Health Organization states it to be a condition where an individual can deal with the daily stress of life and work fruitfully without compromising on health. For the most part, it is an essential aspect that needs to be addressed to ensure holistic well-being.

Likewise, we will go through the Mental Health Statistics and learn about the relevant elements of this health topic and learn more about it.

Zip Code, Life expectancy; Cancer deaths per 100,000 people; Heart disease deaths per 100,000 people; Alzheimer’s disease deaths per 100,000 people; Stroke deaths per 100,000 people; Chronic lower respiratory disease deaths per 100,000 people; Unintentional injury deaths per 100,000 people; Diabetes deaths per 100,000 people; Influenza and pneumonia deaths per 100,000 people; Hypertension deaths per 100,000 people. Percentages unless otherwise noted. Source information provided at: https://www.sccgov.org/sites/phd/hi/hd/Documents/City%20Profiles/Methodology/Neighborhood%20profile%20methodology_082914%20final%20for%20web.pdf

Snapshot img

Population Health Management Market Size and Forecast 2025-2029

The population health management market size estimates the market to reach by USD 19.40 billion, at a CAGR of 10.7% between 2024 and 2029. North America is expected to account for 68% of the growth contribution to the global market during this period. In 2019 the software segment was valued at USD 16.04 billion and has demonstrated steady growth since then.

The market is experiencing significant growth, driven by the increasing adoption of healthcare IT and the rising focus on personalized medicine. Healthcare providers are recognizing the value of population health management platforms in improving patient outcomes and reducing costs. The implementation of these systems enables proactive care management, disease prevention, and population health analysis. However, the market faces challenges as well. The cost of installing population health management platforms can be a significant barrier for smaller healthcare organizations. Additionally, ensuring data security and interoperability across various systems remains a major concern.
Effective data management and integration are essential for population health management to deliver its full potential. Companies seeking to capitalize on market opportunities must address these challenges and provide cost-effective, secure, and interoperable solutions. By focusing on these areas, they can help healthcare providers optimize their population health management initiatives and improve patient care.

What will be the Size of the Population Health Management Market during the forecast period?

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The market continues to evolve, driven by advancements in technology and a growing focus on value-based care. Risk adjustment models, which help account for the variability in health risks among patient populations, are increasingly being adopted to improve care coordination and health outcome measures. For instance, a leading healthcare organization implemented risk stratification models, resulting in a 20% reduction in hospital readmissions. Remote patient monitoring, public health surveillance, and disease outbreak response are crucial applications of population health management. These technologies enable real-time health data collection, allowing for early intervention and improved health equity initiatives. Chronic disease management, a significant focus area, benefits from electronic health records, care coordination models, and health information exchange.

Value-based care programs, predictive modeling healthcare, and telehealth platforms are transforming the landscape of healthcare delivery. Healthcare data analytics, interoperability standards, and population health dashboards facilitate data-driven decision-making, enhancing health intervention efficacy. Behavioral health integration and preventive health services are gaining prominence, with health literacy programs and clinical decision support tools supporting personalized medicine strategies. The market is expected to grow at a robust rate, with industry growth estimates reaching 15% annually. This growth is fueled by the ongoing need for healthcare cost reduction, quality improvement initiatives, and the integration of technology into healthcare delivery.

How is this Population Health Management Industry segmented?

The population health management industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Software
  Services


End-user

  Large enterprises
  SMEs


Delivery Mode

  On-Premise
  Cloud-Based
  Web-Based


End-Use

  Providers
  Payers
  Employer Groups
  Government Bodies


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Component Insights

The software segment is estimated to witness significant growth during the forecast period.

The market's software segment is experiencing significant growth and innovation, driven by various components that enhance healthcare organizations' capacity to manage and enhance the health outcomes of diverse populations. Population health management platforms aggregate and integrate data from multiple sources, including electronic health records, claims data, and patient-generated data. Advanced analytics are employed to generate valuable insights, enabling healthcare providers to identify at-risk populations, address chronic conditions, and improve overall patient outcomes. These platforms facilitate seamless data exchange between stakeholders, ensuring harmonious care coordination and enhancing the overall effectiveness of healthcare services.

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The global Health Data Management Platform market is experiencing robust growth, driven by the increasing volume of healthcare data generated, the rising adoption of electronic health records (EHRs), and the growing need for interoperability among healthcare systems. The market, estimated at $20 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $65 billion by 2033. This growth is fueled by several key factors, including the increasing prevalence of chronic diseases, the rising demand for personalized medicine, and the growing emphasis on value-based care. Furthermore, advancements in technologies like artificial intelligence (AI) and machine learning (ML) are enabling more sophisticated data analytics and predictive modeling, further accelerating market expansion. Key players like Cerner, Epic Systems, and Allscripts are constantly innovating to improve their platform capabilities, further driving competition and market growth. The market is segmented by deployment mode (cloud-based and on-premises), by type (patient data management, clinical data management, financial data management), and by end-user (hospitals and clinics, research organizations, pharmaceutical companies). The market, however, faces certain restraints. Data security and privacy concerns, particularly with the rise of data breaches, remain significant obstacles to wider adoption. The high initial investment cost for implementing these platforms and the need for skilled professionals to manage and interpret the data can also hinder market penetration, especially in resource-constrained healthcare settings. Despite these challenges, the long-term outlook for the Health Data Management Platform market remains exceptionally positive. The increasing regulatory mandates for data interoperability and the growing focus on improving patient outcomes are driving the demand for robust and scalable solutions, ultimately propelling market growth in the coming years. Regional variations exist, with North America currently holding the largest market share due to high technology adoption rates and a well-established healthcare infrastructure. However, the Asia-Pacific region is projected to witness significant growth, fueled by increasing government investments in healthcare IT infrastructure and rising healthcare expenditure.

Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.